// guides
n8n vs custom code.
If your automation is a straight line, use n8n. Custom code earns its cost once the process has to make decisions.
// on this page · 3 sections
n8n is good software. Take a form arriving, a row being added and a Slack message going out. For a workflow like that, n8n is faster to build and cheaper to run than custom code, and a non-engineer can maintain it. If your automation is a straight line, use n8n and skip hiring us.
It starts to break where most real business processes live, such as branching logic, retries that need judgment, or an LLM reasoning across several steps. Past that point the visual canvas turns into a debugging surface, and only one person understands the workflow.
The practical decision
Choose n8n
The workflow fits on one screen and the volume is low. The person maintaining it is not an engineer.
Failure should be cheap. A missed Slack ping is cheap. A missed invoice is not.
Choose custom
The process has to remember things, such as customers, balances and history, or a silent failure costs real money.
AI reasoning belongs in code, because prompt logic buried in workflow nodes cannot be versioned or tested. Pricing per workflow run that starts to look like a salary is another signal.
Use both
Custom code does the core work, and n8n handles shallow glue like notifications and simple triggers.
We build this shape often.
What custom looks like from us
hostingBilled to your account
scoped builds$15k–$40k
single automationFrom $5,000
The code lives in a git repo you own, with tests and documentation any future engineer can pick up. It runs on infrastructure billed to your account.
Our own automations run the same way. One rebuilds itself every two hours from a scrape of 413 cities, with nobody watching, and has for months. Custom work should meet that bar before you pay for it.
To see which side of the line your own workflow falls on, describe it to the architect.
Common questions
Yes — for linear, low-stakes workflows it is often the right choice. It breaks down when processes involve branching logic, stateful data, LLM reasoning across steps, or failures that cost real money.
When the process has state and history, when silent failures are expensive, when AI logic needs to be versioned and tested like code, or when per-execution platform pricing exceeds the cost of owning the system outright.
Yes, and it is often the best architecture: custom code for the core logic and data, n8n for shallow glue like notifications and simple triggers.
studio@anchor163.com
// copied